SLI with Direct3D Texture, a simple example demonstrating the use of SLI and Direct3D interoperability with CUDA C

cudaEncode, showing how to use the NVIDIA H.264 Encoding Library using YUV frames as input

Vflocking Direct3D/CUDA, which simulates and visualizes the flocking behavior of birds in flight

simpleSurfaceWrite, demonstrating how CUDA kernels can write to 2D surfaces on Fermi GPUs

Windows developers should be sure to check out the new debugging and profiling features in Parallel Nsight v1.5 for Visual Studio atwww.nvidia.com/ParallelNsight.

Please refer to the Release Notes and Getting Started Guides for more information.

In CUDA Toolkit 3.2 and the accompanying release of the CUDA driver, some important changes have been made to the CUDA Driver API to support large memory access for device code and to enable further system calls such as malloc and free. Please refer to theCUDA Toolkit 3.2 Readiness Tech Brieffor a summary of these changes.

Note: The developer driver packages below provide baseline support for the widest number of NVIDIA products in the smallest number of installers. More recent production driver packages for developers and end users may be available atwww.nvidia.com/drivers.